Computation and Neural Systems, California Institute of Technology, Pasadena, CA, USA.
PLoS Comput Biol. 2013;9(1):e1002895. doi: 10.1371/journal.pcbi.1002895. Epub 2013 Jan 31.
In an uncertain environment, probabilities are key to predicting future events and making adaptive choices. However, little is known about how humans learn such probabilities and where and how they are encoded in the brain, especially when they concern more than two outcomes. During functional magnetic resonance imaging (fMRI), young adults learned the probabilities of uncertain stimuli through repetitive sampling. Stimuli represented payoffs and participants had to predict their occurrence to maximize their earnings. Choices indicated loss and risk aversion but unbiased estimation of probabilities. BOLD response in medial prefrontal cortex and angular gyri increased linearly with the probability of the currently observed stimulus, untainted by its value. Connectivity analyses during rest and task revealed that these regions belonged to the default mode network. The activation of past outcomes in memory is evoked as a possible mechanism to explain the engagement of the default mode network in probability learning. A BOLD response relating to value was detected only at decision time, mainly in striatum. It is concluded that activity in inferior parietal and medial prefrontal cortex reflects the amount of evidence accumulated in favor of competing and uncertain outcomes.
在不确定的环境中,概率是预测未来事件和做出适应性选择的关键。然而,人们对于人类如何学习这些概率,以及它们在大脑中何处以及如何编码,知之甚少,尤其是当它们涉及两个以上的结果时。在功能磁共振成像(fMRI)中,年轻人通过重复采样来学习不确定刺激的概率。刺激代表收益,参与者必须预测它们的出现以最大化他们的收益。选择表明了损失和风险厌恶,但对概率的估计是无偏的。内侧前额叶皮质和角回的 BOLD 反应与当前观察到的刺激的概率呈线性增加,不受其价值的影响。在休息和任务期间的连通性分析表明,这些区域属于默认模式网络。记忆中过去结果的激活被唤起,作为解释默认模式网络参与概率学习的一种可能机制。只有在决策时,主要在纹状体中,才能检测到与价值相关的 BOLD 反应。结论是,下顶叶和内侧前额叶皮质的活动反映了有利于竞争和不确定结果的证据的积累量。